Analysis and compensation of I/Q imbalance in MIMO transmit-receive diversity systems
IEEE Transactions on Communications
Co-channel interference cancellation using single radio frequency and baseband chain
IEEE Transactions on Communications
IEEE Transactions on Communications
Simulations of a new MIMO zero-forcing detector for correlated and estimated Rician fading
Proceedings of the 44th Annual Simulation Symposium
Wireless Personal Communications: An International Journal
A Novel CSI Feedback Method for Dynamic SU/MU MIMO Adaptation
Wireless Personal Communications: An International Journal
Transmission Scheme for 2D Antenna Array MIMO Systems with Limited Feedback
Wireless Personal Communications: An International Journal
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By employing spatial multiplexing, multiple-input multiple-output (MIMO) wireless antenna systems provide increases in capacity without the need for additional spectrum or power. Zero-forcing (ZF) detection is a simple and effective technique for retrieving multiple transmitted data streams at the receiver. However the detection requires knowledge of the channel state information (CSI) and in practice accurate CSI may not be available. In this letter, we investigate the effect of channel estimation error on the performance of MIMO ZF receivers in uncorrelated Rayleigh flat fading channels. By modeling the estimation error as independent complex Gaussian random variables, tight approximations for both the post-processing SNR distribution and bit error rate (BER) for MIMO ZF receivers with M-QAM and M-PSK modulated signals are derived in closed-form. Numerical results demonstrate the tightness of our analysis